A new encryption scheme using ideal lattices tackles security challenges with quantum algorithms, allowing efficient data retrieval and end-to-end sharing. The scheme uses online/offline technology and proxy re-encryption for authorized access.
Researchers developed universal genetic parts, including RNA polymerase activation module and transcriptional repression modules, in four non-model organisms. These parts demonstrate excellent universality and functional predictability across diverse microbial hosts.
A recent study found that a genetic variant associated with obesity risk also influences thermogenesis in humans, suggesting an African origin story linked to adapting to cold environments. The research team analyzed the rs1421085 T>C variant and its correlation with human migration routes.
Soil degradation, plant autotoxicity, and soil-borne diseases are primary causes of continuous cropping obstacles. Effective measures to reduce CCOs include regulating the rhizosphere, optimizing water and fertilizer management, conservation tillage, and soil biological regulation.
Researchers propose using ultrashort laser pulses to generate terahertz radiation by accelerating electrons and stopping them in a dielectric layer. The proposal aims to increase the efficiency of photo emissive coatings to scale up such sources.
A new compact scheme for coherent beam combining is developed to deliver high average power femtosecond lasers at 2.0 μm, overcoming the limitations of previous systems. The scheme achieves an efficiency of ~81% and generates pulses with peak powers up to 4 MW.
Researchers developed a novel index-free and purely local motif-based graph local clustering algorithm, improving scalability and efficiency on massive graphs. The proposed algorithm outperforms existing methods with extensive experiments on seven widely used real-world graph benchmarks.
A new research proposes a constrained Clustering with Weak Label Prior (CWLP) to improve clustering performance by incorporating compound weak label prior information. The approach combines pairwise constraints and cluster ratio information, achieving superior results on benchmark datasets.
A study found that dysregulated YAP signaling promotes aortic dissection formation by reducing intrinsic smooth muscle cell stiffness. Decreased AoSMC stiffness leads to increased elastin fragmentation and deficient collagen production, promoting AD formation.
Researchers developed pyrochlore La2Zr2–xNixO7 anodes to improve the efficiency of ammonia-based solid oxide fuel cells. These materials exhibit excellent electrochemical performance and durability, enabling high power density operation at intermediate temperatures.
Recent studies have identified distinct skeletal stem cell (SSC) populations in long bones, craniofacial bones, and spine, with unique properties essential for specific bone formation processes. Aging SSCs exhibit reduced osteochondrogenic activity, contributing to a pro-inflammatory environment in the bone marrow.
Researchers developed and validated a new DNA methylation clock (iCAS-DNAmAge) to estimate chronological age in Chinese cohorts, outperforming existing clocks. The study provides valuable tools for assessing biological age and informs aging intervention strategies.
Hyperuricemia has become the fourth most common chronic metabolic condition in China, affecting over 185 million individuals. A recent study by Professor YIN Huiyong's team reveals a mechanism linking fatty acid oxidation to hepatic urate synthesis and hyperuricemia.
The study clarifies the role of GPR35 in liver zonation and MASLD by analyzing spatial multi-omics data. Key findings include the regulation of lipid accumulation, inflammatory responses, and metabolic processes across different liver regions.
The Aral Sea, once the fourth-largest lake in the world, has shrunk to 10% of its original volume due to water diversion for cotton plantations. The article proposes a new design approach that acknowledges human devastation while slowing the sea's disappearance through ecological markers and materials.
A comprehensive transcriptional atlas of human adenomyosis has been created using single-cell RNA-sequencing and spatial transcriptomics. The study reveals unique epithelial and stromal subpopulations and aberrant signaling pathways involved in adenomyosis, supporting both invagination and metaplasia theories.
The article emphasizes the importance of enhancing infrastructure resilience in resilient city construction. It highlights the need for whole-process, multi-factor, multisystem research on urban resilience as a crucial reference for planning and design.
Researchers have identified a novel human gene LY6A, which encodes the candidate ortholog of mouse Ly-6A/Sca-1. The gene is found to be overexpressed in pituitary tumors compared to normal tissues.
The new electrostatic air sampler enhances the rapid monitoring of airborne viruses through high airflow rates and improved collection efficiency. It can detect viral presence in indoor environments within 40 minutes using PCR analysis.
A recent study proposes a framework that formulates program retrieval as a multi-relational graph similarity problem, leveraging dual-level attention to assign weights to nodes in multi-relational graphs. This approach enables more comprehensive portrayal of program and query semantics.
A new type of reverse electrodialysis heat engine (REDHE) has been developed to convert low-grade heat into electricity. The REDHE incorporates helium-gap diffusion distillation as the thermal separation unit and achieves high energy conversion efficiency when optimized parameters are used.
Metabolic cell death in cancer arises from imbalances in cellular metabolism due to nutrient and metal overload. Targeting these vulnerabilities offers novel avenues to overcome resistance to conventional therapies.
This study employed pragmatic designed experiments to propose a semi-empirical ecological design framework, emphasizing learning by doing and research through practice. The project achieved various degrees of goals, with the enhanced paddy field system and bird island showing notable results.
Researchers found that high temperatures improved insulin resistance in obese mice by breaking down ceramides, a key contributor to the condition. The study suggests hyperthermia therapy as a novel approach to treating obesity and metabolic diseases.
A new framework for group-wise co-salient object detection using multi-view self-labeling and semantic knowledge transfer is proposed. This approach improves generalization to novel categories by leveraging the known category's features.
This article introduces and validates two methodologies, the Systemic Equity Framework and Wells-Du Bois Protocol, to integrate socioecological equity into environmental data science and machine learning. These tools aim to mitigate inequity and ensure fair benefits for all communities, particularly marginalized groups.
This study introduces a landscape intervention method to address unequal e-waste treatment, focusing on ecological restoration and local community benefits. The proposed approach combines five concepts: ecological restoration, flood management, stormwater purification, spatial programs, and livelihood income.
A study reveals that personal lifestyle choices, particularly regarding transportation and diet, can lower an individual's carbon footprint. By adopting more efficient transportation methods and making smarter dietary choices, individuals can achieve remarkable reductions in their carbon output.
A novel dialogue generation model ETHREED recognizes user's emotion and situation to generate responsive answers. The model uses hierarchical GRUs to track emotional representations, stochastic policy networks for predicting listener emotions, and guided policy search for optimizing responses.
Eye & ENT Research bridges basic science and clinical applications, offering the latest findings and methodologies for researchers and clinicians. The journal promotes global collaboration and supports contributors in advancing ophthalmology and otolaryngology fields.
This study examines the journey toward hazard-resilience in five exemplary cities, highlighting distinct approaches to addressing disaster risk and building resilience. The research emphasizes the importance of government support, community participation, and cultural awareness in enhancing urban resilience.
A new research team has proposed a novel method, DeepCRBP, to predict the binding sites of circRNAs and RBP. It uses a combination of spatial encoding and sequence encoding modules to capture local and global contextual features in circRNA sequences. The performance of DeepCRBP surpasses several state-of-the-art methods.
Researchers at UESTC China developed a graphene-sensitized microresonator for ultra-sensitive gas detection, achieving detect limits of 1.2 ppb for H2S and 1.4 ppb for SO2. This technology has promising applications in biochemical sensing and photonic-microwave signal generation.
Researchers propose DeciLS-PBO, a local search method for pseudo-Boolean optimization, outperforming existing solvers on most instances. The new method uses unit propagation and a heuristic defined on clauses to improve performance.
The article explores the evolution of resilient cities to bold cities, focusing on policies, actions, and hot trends. Key findings include multi-level governance, circular economy, nature-based solutions, equal opportunities, and open data capabilities.
Researchers have developed an efficient single pixel imaging scheme using a compact fiber laser array and untrained deep neural network. The system enables rapid speckle projection and reconstructs high-quality images, making it suitable for remote sensing and target detection applications.
A new method is introduced to study topological photonic phase in real space using information entropy, enabling the identification of topological states without relying on band structures. This approach provides a novel way to analyze physical properties of topological systems.
A new research proposes a lightweight Degradation-Adaptive Neural Network (DAN-Net) for jointly single image dehazing and desnowing. The proposed method achieves superior performance with lower computational complexity, verified on five large-scale datasets.
A new research proposes a multi-stream network for retrosynthesis prediction, utilizing SMILES and ECFPs descriptors to produce deep features. The model combines these features with varying weights to arrive at a final prediction, leveraging diverse information from each type of feature.
Lysosomes are critical for cellular degradation through endocytosis, phagocytosis, and autophagy, recycling essential components. Research has developed tools to study lysosomes in cultured cells, C. elegans, and mice, with novel assays needed to understand diverse physiological and pathological conditions.
Migrasomes are vesicular structures that facilitate information and material exchange between cells and their microenvironments. Researchers have developed protocols for observing migrasomes using optical microscopy, providing insights into essential physiological and pathological processes such as embryonic development and tumorigenesis.
NeoHunter systematically detects various neoantigens generated by molecular alterations in tumors. The software accurately estimates peptide–HLA binding and evaluates immunogenicity of TCR recognition on pMHC complexes, confirming candidate neoantigens. This comprehensive tool is valuable for advancing personalized cancer vaccines.
Researchers discovered that targeting BET and OXPHOS induces synthetic lethality in liver cancer by blunting cell proliferation and tumor growth. The study found that BET inhibition decreases glycolytic gene expression while enhancing mitochondrial glucose and glutamine oxidative metabolism, revealing a critical epigenetic-metabolic cr...
Researchers identified a link between Bacteroides fragilis-secreted BFT-1 and breast cancer resistance, highlighting the importance of targeting microbiota in cancer treatment. Inhibiting the NOD1 pathway may sensitize breast cancer cells to chemotherapy, providing a promising avenue for novel therapeutic strategies.
Researchers propose green intelligent fertilizers to address the gap between fertilizer industry and agriculture, promoting eco-friendly practices and maximizing nutrient utilization. The new fertilizers aim to improve crop yield, quality, and nutritional balance while minimizing environmental footprint.
A three-step approach is proposed to address global hunger and hidden hunger by focusing on calorie needs, high-quality protein, and emission reduction. The study suggests optimizing crop and livestock cycles, introducing novel foods like insect-based products and lab-grown meats, and enhancing global trade and spatial planning.
Researchers developed a multi-objective zoning method to optimize nutrient management and reduce environmental impacts in the Baiyangdian Basin. The approach improved emissions by over 55% and brought high-risk zones within safety thresholds.
ILF3 interacts with DNA/RNA helicases to resolve telomeric R-loops, maintaining telomere homeostasis. This study provides new insights into R-loop regulation and its implications for aging biology.
The study introduces two new metrics and proposes a novel Imbalance-Aware fusion Model (IMAM) to address the multi-dimensional classification problem. IMAM performs well across dimensions without sacrificing instance-wise performance.
A new logarithmic step size strategy for stochastic gradient descent (SGD) is introduced to address the challenge of probability distribution, improving performance in critical concluding iterations. Numerical results show significant improvements in test accuracy, particularly on the CIFAR100 dataset with a convolutional neural networ...